Electricity Price Forecasting Model based on Gated Recurrent Units

Author:

Rezaei Nafise1,Rajabi Roozbeh1,Estebsari Abouzar2

Affiliation:

1. Qom University of Technology,Faculty of ECE,Qom,Iran

2. School of the Built Environment and Architecture, London South Bank University,London,United Kingdom

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine and deep learning approaches for forecasting electricity price and energy load assessment on real datasets;Ain Shams Engineering Journal;2024-04

2. Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms;Energies;2024-03-28

3. Temporal Convolutional Network Ensemble for Day-Ahead and Week-Ahead Electricity Price Forecasting;2023 IEEE Industry Applications Society Annual Meeting (IAS);2023-10-29

4. Non-Intrusive Load Monitoring (NILM) using Deep Neural Networks: A Review;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06

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